Dynamic Stand Model for Eucalyptus globulus (L.) in Uruguay
Stand level dynamic models are widely used in forestry. Fitting empirical data that is integrated into a set of equations is used to describe the relationships between different variables The classic methodologies to develop equations invariant with respect to transition simulation interval (path invariance) and invariant respect to the reference age are employed algebraic difference approach (ADA) and generalized algebraic difference approach (GADA). The aim of this study was to develop a dynamic model for Eucalyptus globulus stand using transition equations for basal area, dominant average height and mortality, using tle dummy variables approach. The data used are from 168 permanent plots. The equations evaluated individually were then adjusted simultaneously by seemingly unrelated regression (SUR). Based on the analysis of goodness of fit and predictive ability, the model proposed by Korf, as amended by Cieszewski (2004), for the dominant average height was selected; Levakovic model (Zeide, 1993) for the basal area and the model Pienaar and Shiver (1981) for mortality. The simulation model developed is more flexible and can lift some of the limitations of the model used previously. Its integration into a decision support system (DSS), constitute a useful tool for planning and decision making in the forestry sector.